The goal is to develop an automatic annotation algorithm for underwater data. We envision the following steps in the challenge:
1. Handling the video data
2. Creating audio data associated with the...
A basic yet interactive user interface coupled with an API, which can take in selected underwater images together and output a 3D reconstruction of the asset.
We would like to develop a working prototype of the SeaSafe AI system. This will include a web-based dashboard that simulates real-time vessel tracking using AIS data and visualises predicted ...
- Upload underwater images of coral reefs (taken via smartphones or cameras).
- Use AI-based image recognition to detect and annotate coral health indicators (e.g., bleaching, algae, ...
Over the 48 hours, we aim to develop a real-time, interactive web dashboard that connects with our AI-powered floating Seabin prototype. The platform will visualize trash detection results, sensor ...
Design a cost-effective monitoring solution that integrates sensor data for community-based science projects. This tool should help researchers and citizens alike gather and analyze environmental ...
We aim to develop a robust and playful algorithm that can reliably distinguish clouds from snow and ice in Sentinel-2 images of polar regions. This will include:
A trained machine learning model (or...
Over the 48 hours, I want to develop an AI-powered digital tool that analyzes underwater drone footage to automatically detect coral bleaching, marine litter, and endangered species using computer ...
An AI/ML system that can detect and quantify boat traffic from thousands of still images captured every 5 minutes by a shore camera. This kind of quantitative analysis could be of great interest to ...
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